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in diverse, real-world environments. Both classical machine learning methods and deep learning techniques can be employed to tackle this task. This project aims to achieve several objectives: 1
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. Proficiency in using analytical software will be highly regarded. The role requires face to face data collection. Visa sponsorship is not available for this position. This role requires current valid work
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research priorities. About You Essential Qualifications and Experience A medical specialist qualification in an area of expertise relevant to the Sub-Faculty and Alfred Health. PhD or equivalent research
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Experience Medical specialist qualification relevant to the Sub-Faculty and Monash Health. A PhD or equivalent research doctorate in a relevant medical or health-related discipline. Senior academic standing
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behavioural foundations of health and well-being, and play an important role in building students’ research capabilities in both qualitative and quantitative methods. You will also supervise honours and
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Discovery Project, this research aims to develop highly novel physics-informed deep learning methods for Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) and applications in image
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demonstrate a strong commitment to confidentiality and information handling, work collaboratively with colleagues, and show proficiency in Microsoft Office and University software, with a willingness to learn
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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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quantitative, qualitative, or mixed research methods. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great